Evidence map›Paper›PMID 33320099›Full record

ArticleJournal of medical Internet research2020

Status and Recommendations of Technological and Data-Driven Innovations in Cancer Care: Focus Group Study.

Haridimos Kondylakis, Cristian Axenie, Dhundy Kiran Bastola, Dimitrios G Katehakis, Angelina Kouroubali, Daria Kurz, Nekane Larburu, Iván Macía, Roma Maguire, Christos Maramis and 11 more

Abstract read
In one paragraph

Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. The role of wearable technologies in supporting physical and psychosocial health outcomes among breast cancer patients: a systematic review.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026
    Pooled it
  2. Data-driven decision making in patient management: a systematic review.BMC medical informatics and decision making · 2025
    Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

21 authors.

Haridimos Kondylakis *FORTH-ICS, Heraklion, Greece.ORCID 0000-0002-9917-4486
Cristian Axenie *Audi Konfuzius-Institut Ingolstadt Lab, Technische Hochschule Ingolstadt, Ingolstadt, Germany.ORCID 0000-0001-6184-0546
Dhundy Kiran Bastola *School of Interdisciplinary Informatics, University of Nebraska, Omaha, NE, United States.ORCID 0000-0003-1128-4451
Dimitrios G Katehakis *FORTH-ICS, Heraklion, Greece.ORCID 0000-0002-3763-191X
Angelina Kouroubali *FORTH-ICS, Heraklion, Greece.ORCID 0000-0002-3023-8242
Daria Kurz *Interdisziplinäres Brustzentrum, Helios Klinikum München West, Munich, Germany.ORCID 0000-0002-8524-8675
Nekane Larburu *Vicomtech, Health Research Institute, San Sebastian, Spain.ORCID 0000-0003-0248-7783
Iván Macía *Vicomtech, Health Research Institute, San Sebastian, Spain.ORCID 0000-0003-0448-7840
Roma Maguire *University of Strathclyde, Glasgow, United Kingdom.ORCID 0000-0001-7935-3447
Christos Maramis *eHealth Lab, Institute of Applied Biosciences - Centre for Research & Technology Hellas, Thessaloniki, Greece.ORCID 0000-0002-6417-0784
Kostas Marias *FORTH-ICS, Heraklion, Greece.ORCID 0000-0003-3783-5223
Philip Morrow *School of Computing, Ulster University, Newtownabbey, United Kingdom.ORCID 0000-0002-2373-4758
Naiara Muro *Vicomtech, Health Research Institute, San Sebastian, Spain.ORCID 0000-0002-6961-062X
Francisco José Núñez-Benjumea *Salumedia Labs & Adhera Health, Inc, Sevilla, Spain.ORCID 0000-0003-0292-5122
Andrik Rampun *Academic Unit of Radiology, Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, United Kingdom.ORCID 0000-0001-8340-2408
Octavio Rivera-Romero *Universidad de Sevilla, Seville, Spain.ORCID 0000-0001-7212-9805
Bryan Scotney *School of Computing, Ulster University, Newtownabbey, United Kingdom.ORCID 0000-0002-8243-2223
Gabriel Signorelli *Salumedia Labs & Adhera Health, Inc, Sevilla, Spain.ORCID 0000-0002-8772-1446
Hui Wang *School of Computing and Engineering, University of West London, London, United Kingdom.ORCID 0000-0003-2633-6015
Manolis Tsiknakis *FORTH-ICS, Heraklion, Greece.ORCID 0000-0001-8454-1450
Reyer Zwiggelaar *Department of Computer Science, Aberystwyth University, Aberystwyth, United Kingdom.ORCID 0000-0002-4360-0896

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe status of the data-driven management of cancer care as well as the challenges, opportunities, and recommendations aimed at accelerating the rate of progress in this field are topics of great interest. Two international workshops, one conducted in June 2019 in Cordoba, Spain, and one in October 2019 in Athens, Greece, were organized by four Horizon 2020 (H2020) European Union (EU)-funded projects: BOUNCE, CATCH ITN, DESIREE, and MyPal. The issues covered included patient engagement, knowledge and data-driven decision support systems, patient journey, rehabilitation, personalized diagnosis, trust, assessment of guidelines, and interoperability of information and communication technology (ICT) platforms. A series of recommendations was provided as the complex landscape of data-driven technical innovation in cancer care was portrayed.

objectiveThis study aims to provide information on the current state of the art of technology and data-driven innovations for the management of cancer care through the work of four EU H2020-funded projects.

methodsTwo international workshops on ICT in the management of cancer care were held, and several topics were identified through discussion among the participants. A focus group was formulated after the second workshop, in which the status of technological and data-driven cancer management as well as the challenges, opportunities, and recommendations in this area were collected and analyzed.

resultsTechnical and data-driven innovations provide promising tools for the management of cancer care. However, several challenges must be successfully addressed, such as patient engagement, interoperability of ICT-based systems, knowledge management, and trust. This paper analyzes these challenges, which can be opportunities for further research and practical implementation and can provide practical recommendations for future work.

conclusionsTechnology and data-driven innovations are becoming an integral part of cancer care management. In this process, specific challenges need to be addressed, such as increasing trust and engaging the whole stakeholder ecosystem, to fully benefit from these innovations.

Indexed as

Data AnalysisFocus GroupsHumansNeoplasmsdata-driven scienceinventionsneoplasms

Identifiers

PMID33320099
PMCPMC7772066

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.